Multi-Agent Code Review with CrewAI + GitHub + Claude
Deploy an AI review team that automatically reviews every PR: one agent checks security, another analyzes performance, a third reviews code style.
Tools Used
Purpose
Why this workflow exists
Workflow Steps
Create three CrewAI agents: SecurityReviewer (finds vulnerabilities, injection risks), PerformanceAnalyst (spots N+1 queries, memory leaks), and StyleChecker (naming, patterns, readability).
Set up the MCP GitHub Server to give CrewAI access to PR diffs, file contents, and existing comments. Configure webhook to trigger on PR events.
Define CrewAI tasks: the SecurityReviewer scans for SQL injection and XSS, the PerformanceAnalyst checks query patterns and bundle sizes, the StyleChecker validates against your team's coding standards.
Run all three agents in parallel using CrewAI's orchestration. Each produces a structured review with severity levels, code line references, and fix suggestions.
Aggregate all agent findings into a single formatted PR comment via the GitHub API. Include severity badges, actionable suggestions, and an overall score.
Expected Results
What this workflow should unlock
What you get at the end
Deploy an AI review team that automatically reviews every PR: one agent checks security, another analyzes performance, a third reviews code style.
ai agent stack
Operational upside
Instead of rethinking the process each time, you reuse the same sequence across planning, execution, and refinement with CrewAI, Anthropic Claude API, MCP GitHub Server.
repeatable execution
Team-facing outcome
Create three CrewAI agents: SecurityReviewer (finds vulnerabilities, injection risks), PerformanceAnalyst (spots N+1 queries, memory leaks), and StyleChecker (naming, patterns, readability).
less manual coordination
Next-level refinement
Aggregate all agent findings into a single formatted PR comment via the GitHub API. Include severity badges, actionable suggestions, and an overall score.
easy to iterate
Common Questions
Quick answers before you start
What is the main purpose of Multi-Agent Code Review with CrewAI + GitHub + Claude?
Deploy an AI review team that automatically reviews every PR: one agent checks security, another analyzes performance, a third reviews code style.
How many tools do I actually need to start?
You can usually start with the core set listed here. This idea currently references 3 tools, but you do not need to adopt every tool on day one.
Is this workflow suitable for my experience level?
Yes, as long as you treat the current setup as advanced. The workflow structure stays the same; the difference is how much customization and orchestration you add.
How long does it take to put this into practice?
Most teams can stand up an initial version quickly because the workflow already breaks into 5 concrete steps. The refinement phase usually takes longer than the first draft.